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Claude Opus 4.7 vs Nemotron 3.5 Lightning

Claude Opus 4.7 leads Nemotron 3.5 Lightning on coding, 67.5 to 22.6 on the Vibe Coding Index, and Nemotron 3.5 Lightning costs 170.1x less per output token ($0.147 vs $25.00 per million). Updated October 22, 2026; 17 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
16
Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
No data
Output $/M
$0.147
0
vs boards won of 17 shared, 1 tied

Claude Opus 4.7 or Nemotron 3.5 Lightning: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning.

Pick Nemotron 3.5 Lightning for output tokens 170.1x cheaper ($0.147 vs $25.00 per million) and a lower cost per solved task ($0.06 against $2.95).

Shared results
17
Claude Opus 4.7 only
86
Nemotron 3.5 Lightning only
3
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.7 67.5 from 4 benchmarks, Nemotron 3.5 Lightning 22.6 from 2 benchmarks.
Widest category
General, 48.5 points apart on average over 2 shared benchmarks.
Widest single gap
MedScribe (Vals AI): Claude Opus 4.7 83.0% against Nemotron 3.5 Lightning 4.3%, 78.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Nemotron 3.5 Lightning $0.147 per million output tokens, 170.1x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Nemotron 3.5 Lightning 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.7BarsNemotron 3.5 LightningTies
Coding501 tie
Intelligence10
Agentic work50
Reasoning20
Knowledge10
General20
All shared boards1601 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.626.8Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%52.8%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%0.0%Claude Opus 4.7
Code migration (Vals AI)43.9%3.0%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)68.5%10.9%Claude Opus 4.7
CyberBench (Vals AI)Not measured29.5%Only Nemotron 3.5 Lightning measured
SciCodeNot measured32.1%Only Nemotron 3.5 Lightning measured
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured769.2Only Nemotron 3.5 Lightning measured
LMArena Text: coding1519Not measuredOnly Claude Opus 4.7 measured
LMArena Text: software and IT1516Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
AA Intelligence Index40.712.9Claude Opus 4.7
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
AA Agentic Index38.63.5Claude Opus 4.7
Finance Agent (Vals AI)51.5%18.5%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%2.6%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%2.9%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%17.0%Claude Opus 4.7
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%74.3%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%10.6%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts1506Not measuredOnly Claude Opus 4.7 measured
LMArena Text: expert1521Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts in English1508Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: mathematical work1509Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%54.2%Claude Opus 4.7
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science1508Not measuredOnly Claude Opus 4.7 measured
LMArena Text: medicine and healthcare1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: legal and government1504Not measuredOnly Claude Opus 4.7 measured
LMArena Text: business and finance1490Not measuredOnly Claude Opus 4.7 measured
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%4.3%Claude Opus 4.7
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%60.3%Claude Opus 4.7
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: instruction following1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: creative writing1486Not measuredOnly Claude Opus 4.7 measured
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English1496Not measuredOnly Claude Opus 4.7 measured
LMArena Text: non-English1480Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Chinese1531Not measuredOnly Claude Opus 4.7 measured
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: longer queries1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: writing and language1492Not measuredOnly Claude Opus 4.7 measured
LMArena Text: entertainment and media1474Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Nemotron 3.5 Lightning
BenchmarkClaude Opus 4.7Nemotron 3.5 LightningLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request
Nemotron 3.5 Lightning$0.0001Fits in one request

Nemotron 3.5 Lightning costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Nemotron 3.5 Lightning$0.0031Fits in one request

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Nemotron 3.5 Lightning$0.012Fits in one request

Nemotron 3.5 Lightning costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and Nemotron 3.5 Lightning
SpecificationAnthropic Claude Opus 4.7NVIDIA Nemotron 3.5 Lightning
MakerAnthropicNVIDIA
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026August 11, 2026
Context window1M262K
Input $/Mtok$5.00$0.0534
Output $/Mtok$25.00$0.147
Coding index67.522.6
Independent measurements behind it42
Cost per solved task$2.95$0.06
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Nemotron 3.5 Lightning for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 22.6 for Nemotron 3.5 Lightning. Pick Nemotron 3.5 Lightning for output tokens 170.1x cheaper ($0.147 vs $25.00 per million) and a lower cost per solved task ($0.06 against $2.95).

Which is cheaper, Claude Opus 4.7 or Nemotron 3.5 Lightning?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Nemotron 3.5 Lightning costs $0.0534 and $0.147. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Nemotron 3.5 Lightning $0.06.

Which has the bigger context window, Claude Opus 4.7 or Nemotron 3.5 Lightning?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Nemotron 3.5 Lightning comparison based on?

17 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Nemotron 3.5 Lightning's on 2. Where only one model has a result, the page says so instead of naming a winner.

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